We are looking for a passionate and proficient scientist with expertise in Large Language Models and Generative AI to join our Research Center in Baden/Switzerland. In an interdisciplinary environment, you will drive cutting-edge innovation for different complex systems in power grid applications. Join our dynamic, motivated, and creative team to contribute to a sustainable energy future for all.

How you’ll make an impact

• You are creative: Conduct high-quality industrial research in the areas of Generative AI and Large Language Models for sustainable power grids, green energy and related fields

• You are impactful: Develop innovative software solutions, turn them into prototypes and increase their technology readiness towards productization

• You take initiative: Collaborate with a global and interdisciplinary team of researchers and engineers in Hitachi Energy Research and Business Units to identify and solve real-world problems and realize opportunities for further improvements

• You collaborate: Build relationships within the company and actively share your knowledge and expertise. Interact with local and global external partners including universities and vendors

• You communicate: Disseminate your results in technical reports, patent applications, and scientific publications

Your background

• PhD degree in Computer Science, Mathematics, Physics, or a related field

• Proven expertise in a broad range of recent Generative Modelling technology including Large Language Models, with a solid understanding of algorithms, frameworks, and extensive experience in relevant software tools

• Expertise in scalable and high-performance computing

• Good knowledge of the NVIDIA AI/ML software technology stack

• Strong ability and keen interest in applying AI to real-world industrial applications and business cases related to the energy sector and driving the emerging research in this field toward productization

• Excellent communication skills, team player attitude, initiative, and creativity

• Fluency in English, both written and spoken